client = TestClient(mod.app)
    return client


@pytest.mark.parametrize("price", ["50.5", 50.5])
def test_post_with_tax(client: TestClient, price: str | float):
    response = client.post(
        "/items/",
        json={"name": "Foo", "price": price, "description": "Some Foo", "tax": 0.3},
    )
    assert response.status_code == 200
    assert response.json() == {

      public void write(char[] cbuf, int off, int len) throws IOException {
        super.write(cbuf, off, len);
        flush();
      }

      @Override
      public void write(String str, int off, int len) throws IOException {
        super.write(str, off, len);
        flush();
      }
    };
  }

      public void write(char[] cbuf, int off, int len) throws IOException {
        super.write(cbuf, off, len);
        flush();
      }

      @Override
      public void write(String str, int off, int len) throws IOException {
        super.write(str, off, len);
        flush();
      }
    };
  }

还记得依赖项支持子依赖项吗？

`get_current_user` 使用 `oauth2_scheme` 作为依赖项。

与之前直接在路径操作中的做法相同，新的 `get_current_user` 依赖项从子依赖项 `oauth2_scheme` 中接收 `str` 类型的 `token`：

{* ../../docs_src/security/tutorial002_an_py310.py hl[25] *}

## 获取用户 { #get-the-user }

`get_current_user` 使用创建的（伪）工具函数，该函数接收 `str` 类型的令牌，并返回 Pydantic 的 `User` 模型：

{* ../../docs_src/security/tutorial002_an_py310.py hl[19:22,26:27] *}

## 注入当前用户 { #inject-the-current-user }

def get_full_name(first_name: str, last_name: str):
    full_name = first_name.title() + " " + last_name.title()
    return full_name

    @DisplayName("Test toString contains proper class name")
    void testToStringFormat() {
        String str = response.toString();

        // Should start with the class name
        assertTrue(str.startsWith("Trans2SetFileInformationResponse["));

        // Should end with closing bracket
        assertTrue(str.endsWith("]"));

        // Should contain parent toString content

* Conversión de datos
* Validación de datos
* Documentación automática

## Tipos especiales y validación { #special-types-and-validation }

Además de tipos singulares normales como `str`, `int`, `float`, etc., puedes usar tipos singulares más complejos que heredan de `str`.

Para ver todas las opciones que tienes, Revisa [Resumen de tipos de Pydantic](https://docs.pydantic.dev/latest/concepts/types/). Verás algunos ejemplos en el siguiente capítulo.

from fastapi import Body, FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None


@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item = Body(embed=True)):
    results = {"item_id": item_id, "item": item}

from typing import Annotated

from fastapi import FastAPI
from fastapi.temp_pydantic_v1_params import Body
from pydantic.v1 import BaseModel


class Item(BaseModel):
    name: str
    description: str | None = None
    size: float


app = FastAPI()


@app.post("/items/")
async def create_item(item: Annotated[Item, Body(embed=True)]) -> Item:

from fastapi import FastAPI

app = FastAPI()


@app.get("/items/{item_id}")
async def read_item(item_id: str, q: str | None = None, short: bool = False):
    item = {"item_id": item_id}
    if q:
        item.update({"q": q})
    if not short:
        item.update(
            {"description": "This is an amazing item that has a long description"}
        )